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Associate Machine Learning Jobs in Texas (NOW HIRING)

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

... machine learning solutions. • Experience with Microsoft Azure technologies like Azure Machine ... Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus • ...

Alcon

Senior Associate Data Science

Fort Worth, TX · On-site

You will apply Machine Learning, Operations Research, Large Language Models (LLMs), and advanced ... yrs.; Assoc.+6 yrs.; M.S.+0 yrs.) * The ability to fluently read, write, understand, and ...

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

... machine learning solutions. • Experience with Microsoft Azure technologies like Azure Machine ... Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus • ...

Blue Cross of Idaho

AI Technical Lead

Meridian, TX · On-site +1

Develop and deploy machine learning and generative AI solutions that support enterprise use cases ... Associate Degree in Computer Science, Electrical Engineering, Information Systems, or closely ...

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All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Texas

Associate Machine Learning information

See Texas salary details

$22K

$115.8K

$283.9K

How much do associate machine learning jobs pay per year?

As of Jul 21, 2026, the average yearly pay for associate machine learning in Texas is $115,791.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $160,500.00 per year, depending on experience, location, and employer.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an Associate Machine Learning Engineer, and why are they important?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by Associate Machine Learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an Associate Machine Learning Engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in Texas? The most popular types of Machine Learning jobs in Texas are:
What are popular job titles related to Associate Machine Learning jobs in Texas? For Associate Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning jobs in Texas look for? The top searched job categories for Associate Machine Learning jobs in Texas are:
What cities in Texas are hiring for Associate Machine Learning jobs? Cities in Texas with the most Associate Machine Learning job openings:
Associate Machine Learning jobs near you
Azure AI Apps Architect

Azure AI Apps Architect

Lantern

Dallas, TX • On-site

$62.75 - $82/hr

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Lantern is a company that values a culture of trust and collaboration, and they are seeking an Azure AI Apps Architect. The role involves leading clients in designing and deploying AI solutions in Microsoft Azure, as well as supporting business development efforts.
Responsibilities:
• leading our clients in envisioning, designing, developing, and deploying AI solutions in Microsoft Azure
• support company leaders and sales teams in business development, shaping estimations and sales estimates
Qualifications:
Required:
• Experience architecting, developing, deploying, and maintaining Azure generative AI and traditional machine learning solutions.
• Experience with Microsoft Azure technologies like Azure Machine Learning, Azure OpenAI Service, Azure AI Search, Azure Databricks, Azure SQL Database, and Azure Cognitive Services.
• Experience programming in languages such as Python, PySpark, or C#
• Strong foundational understanding of the concepts behind machine learning algorithms and generative AI.
• Experience engaging in high-level conversations with clients to shape potential projects.
• Experience in pre-sales motions to support the sales and business development teams.
• Experience collaborating with business stakeholders to understand business requirements and design AI solutions which meet those requirements
• Outstanding verbal and written communication skills
• Excellent presentation and whiteboarding skills.
• Experience communicating highly technical concepts to non-technical audiences.
Preferred:
• Bachelor’s degree in computer science or related field
• Experience building automations with Azure Function Apps, Azure Data Factory, Power Automate, or Azure Logic Apps
• AI-102 (Microsoft Certified: Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus
• Experience with GitHub or Azure DevOps
• Prior consulting and business development experience a plus
Company:
Lantern is a software company that offers cloud infrastructure, AI, digital, and app innovation services. Founded in 1998, the company is headquartered in Edmonton, CAN, with a team of 201-500 employees. The company is currently Growth Stage.

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